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Simulated data

Benchmarks

Task NameDataset NameSOTA ResultTrend
Feature SelectionSimulated Data
ROC AUC90
70
Task-invariant subspace estimationSimulated data (d=100, s=5)
Minimum Tasks (T)160
41
Linear RegressionSimulated data
Calibration Error0.156
18
ClusteringSimulated Data Dense Weights
Mean run time (seconds)16.09
15
3D Photoacoustic Computed Tomography reconstructionSimulated data
Cosine Similarity90.3
12
FairPCASimulated Data FairPCA
Average Runtime (s)0.057
12
Discrete Spectral ReconstructionSimulated data 10 scenes (test)
PSNR39.8
10
Disease risk predictionSimulated data N = 5000 (test)
AUC74.63
6
Disease risk predictionSimulated data N = 2000 (test)
AUC75
6
Fixed effect estimationSimulated data warpMix-mu3
Estimation Error0.0033
6
Fixed effect estimationSimulated data warpMix-mu2
Estimation Error0.007
6
Fixed effect estimationSimulated data warpMix-mu1
Estimation Error0.0151
6
Fixed effect estimationSimulated data PM2-F
Estimation Error0.0539
6
Fixed effect estimationSimulated data PM1-F
Estimation Error0.0452
6
Point EstimationSimulated Data p=300 (test)
MSE0.181
5
Point EstimationSimulated Data p=100 (test)
MSE0.193
5
Point EstimationSimulated Data (p=50) (test)
MSE0.167
5
ClusteringSimulated Data Heterogeneous non-nested shards poor separability
Mean Running Time (s)2.17
4
ClusteringSimulated Data Heterogeneous non-nested shards easy separability
Mean Running Time (s)1.8
4
ClusteringSimulated Data Heterogeneous nested shards poor separability
Mean Running Time (s)2.29
4
ClusteringSimulated Data Heterogeneous nested shards easy separability
Mean Running Time (s)1.82
4
ClusteringSimulated Data Homogeneous shards poor separability
Mean Running Time (s)6.62
4
ClusteringSimulated Data Homogeneous shards easy separability
Mean Running Time (s)7
4
Joint Auction DesignSimulated Data Setting D: 4 x 4 x 3 (test)
Revenue (rev)0.742
4
Joint Auction DesignSimulated Data Setting C: 4 x 4 x 2 (test)
Revenue74.1
4
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